Contouring error prediction and optimization of stone relief for robotic milling.

Contour error is a crucial quality measure for stone relief products. Achieving the appropriate process parameters is vital due to the inherent hardness, brittleness, and natural crystal defects found in white marble. This study investigated various processing characteristics of Chinese character stone relief and primarily focused on understanding the impact of spindle speed, feed speed, milling width, and milling depth on contour error. The study optimized the process parameters by considering the contour error as the response target. Firstly, the paper outlined the machining process of stone relief using a manipulator and provided a classification basis for different machining features. Subsequently, a series of white marble milling experiments were conducted using the Box-Behnken design method of Response Surface Methodology (RSM). A multiple nonlinear regression model was established to analyze the influence of various processing characteristics on white marble contour error. Through RSM, the interaction effects of different factors on the contour error were examined. Finally, optimal milling parameters were selected and validated through experiments. The results indicated that the optimized milling process proposed in this study can reduce the contour error of the final stone relief products by 47.3% compared to traditional milling methods. [ABSTRACT FROM AUTHOR]